Indonesia Human Capital Index
Indonesia ID: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1
ID: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data was reported at 0.542 NA in 2017. ID: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.542 NA from Dec 2017 (Median) to 2017, with 1 observations. ID: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Human Capital Index. The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
Last | Frequency | Range |
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0.542 2017 | yearly | 2017 - 2017 |
View Indonesia's Indonesia ID: Human Capital Index (HCI): Female: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Indonesia ID: Human Capital Index (HCI): Female: Scale 0-1
ID: Human Capital Index (HCI): Female: Scale 0-1 data was reported at 0.550 NA in 2017. ID: Human Capital Index (HCI): Female: Scale 0-1 data is updated yearly, averaging 0.550 NA from Dec 2017 (Median) to 2017, with 1 observations. ID: Human Capital Index (HCI): Female: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
Last | Frequency | Range |
---|---|---|
0.550 2017 | yearly | 2017 - 2017 |
View Indonesia's Indonesia ID: Human Capital Index (HCI): Female: Scale 0-1 from 2017 to 2017 in the chart:
Indonesia ID: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1
ID: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data was reported at 0.569 NA in 2017. ID: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.569 NA from Dec 2017 (Median) to 2017, with 1 observations. ID: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Human Capital Index. The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
Last | Frequency | Range |
---|---|---|
0.569 2017 | yearly | 2017 - 2017 |
View Indonesia's Indonesia ID: Human Capital Index (HCI): Female: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Indonesia ID: Human Capital Index (HCI): Lower Bound: Scale 0-1
ID: Human Capital Index (HCI): Lower Bound: Scale 0-1 data was reported at 0.521 NA in 2017. ID: Human Capital Index (HCI): Lower Bound: Scale 0-1 data is updated yearly, averaging 0.521 NA from Dec 2017 (Median) to 2017, with 1 observations. ID: Human Capital Index (HCI): Lower Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Human Capital Index. The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
Last | Frequency | Range |
---|---|---|
0.521 2017 | yearly | 2017 - 2017 |
View Indonesia's Indonesia ID: Human Capital Index (HCI): Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Indonesia ID: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1
ID: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data was reported at 0.503 NA in 2017. ID: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data is updated yearly, averaging 0.503 NA from Dec 2017 (Median) to 2017, with 1 observations. ID: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Human Capital Index. The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
Last | Frequency | Range |
---|---|---|
0.503 2017 | yearly | 2017 - 2017 |
View Indonesia's Indonesia ID: Human Capital Index (HCI): Male: Lower Bound: Scale 0-1 from 2017 to 2017 in the chart:
Indonesia ID: Human Capital Index (HCI): Male: Scale 0-1
ID: Human Capital Index (HCI): Male: Scale 0-1 data was reported at 0.521 NA in 2017. ID: Human Capital Index (HCI): Male: Scale 0-1 data is updated yearly, averaging 0.521 NA from Dec 2017 (Median) to 2017, with 1 observations. ID: Human Capital Index (HCI): Male: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
Last | Frequency | Range |
---|---|---|
0.521 2017 | yearly | 2017 - 2017 |
View Indonesia's Indonesia ID: Human Capital Index (HCI): Male: Scale 0-1 from 2017 to 2017 in the chart:
Indonesia ID: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1
ID: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data was reported at 0.531 NA in 2017. ID: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data is updated yearly, averaging 0.531 NA from Dec 2017 (Median) to 2017, with 1 observations. ID: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Human Capital Index. The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
Last | Frequency | Range |
---|---|---|
0.531 2017 | yearly | 2017 - 2017 |
View Indonesia's Indonesia ID: Human Capital Index (HCI): Male: Upper Bound: Scale 0-1 from 2017 to 2017 in the chart:
Indonesia ID: Human Capital Index (HCI): Scale 0-1
ID: Human Capital Index (HCI): Scale 0-1 data was reported at 0.535 NA in 2017. ID: Human Capital Index (HCI): Scale 0-1 data is updated yearly, averaging 0.535 NA from Dec 2017 (Median) to 2017, with 1 observations. ID: Human Capital Index (HCI): Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Human Capital Index. The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
Last | Frequency | Range |
---|---|---|
0.535 2017 | yearly | 2017 - 2017 |
View Indonesia's Indonesia ID: Human Capital Index (HCI): Scale 0-1 from 2017 to 2017 in the chart:
Indonesia ID: Human Capital Index (HCI): Upper Bound: Scale 0-1
ID: Human Capital Index (HCI): Upper Bound: Scale 0-1 data was reported at 0.548 NA in 2017. ID: Human Capital Index (HCI): Upper Bound: Scale 0-1 data is updated yearly, averaging 0.548 NA from Dec 2017 (Median) to 2017, with 1 observations. ID: Human Capital Index (HCI): Upper Bound: Scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank: Human Capital Index. The HCI upper bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the upper bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.; ; World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498; ;
Last | Frequency | Range |
---|---|---|
0.548 2017 | yearly | 2017 - 2017 |